Fullstack AI Engineer (Staff) IFS Logistics

About IFS Logistics

IFS Logistics (built and launched as 7bridges now part of IFS) is an AI-native enterprise logistics platform. We unify transport data optimise carrier spend and automate execution for enterprise shippers and logistics companies. We are a small dedicated product and engineering team inside IFS reporting into the commercial organisation rather than central R&D. Pure SaaS zero consultancy: if a customer needs us to operate the software for them we have failed.

The role

This is not a traditional add AI to an existing system role. You will set the technical direction for our Experience squad the layer where the whole platform meets the customer: SSO and identity IFS Intelligence integration the demo environment and the cross-product surface that ties Data Connect TPAO Shipper TMS and Revenue Protect into one product.

The squad does not exist yet. You will help build it set its architecture and standards and be accountable for what it ships. You stay hands-on this is not a management-only role. You are the squads technical voice to the VP Product and Chief Architect.

Your depth is backend and platform. Every engineer here is expected to be genuinely fullstack; the profile describes where your depth is not a boundary you stay inside. You will review React as readily as Django.

What youll work on

• API v3 and the service boundaries that let four product areas share one identity permission and navigation model without a shared mess.
• SSO tenancy and permissions done once properly all data visible by default restricted only by exception.
• A demo environment that is a real product surface not a fixture commercially load-bearing and used every week.
• IFS Intelligence and IFS Cloud integration including the embedding path opened up by Project Oliver.
• Where the agent sits in each new surface and the guardrails observability and cost controls that make agentic behaviour safe to ship.

Qualifications :

What were looking for

• Around eight years or more building and running production software with real depth in Python/Django REST API design data modelling and service reliability.
• You have set technical direction for a team: chosen the approach written it down defended it and changed it when you were wrong.
• Strong on performance cost and observability. You have owned the pager as well as the design doc.
• Genuinely fullstack comfortable in React and able to raise the bar on frontend work you do not write yourself.
• You raise other peoples standards. Review pairing and honest feedback are things you do by default.
• AI-native in practice: you build with Cursor and Claude daily you know how to give an agent the right context and you can tell when its output is wrong.
• You form and state a view. Ambiguity is the job not a blocker.

Nice to have

• Multi-tenant enterprise SaaS SSO/identity or ERP integration experience.
• LLM agent orchestration RAG or evals in production.
• Shipped agents into a product for real work like agentic audit or agent-managed fulfilment rules with a view on where an agent earns its place and where it does not.
• Simulation or scenario modelling: synthetic data or replay used to prove out logic before it ships.
• BigQuery dbt Pub/Sub GCP Kubernetes Terraform.
• Logistics supply chain or freight.

Tech stack

Python (Django REST) TypeScript/Node React BigQuery dbt Cube Cloud Superset Pub/Sub Datastream GCP Kubernetes Terraform GitLab CI/CD LLMs RAG agent frameworks evals Cursor Claude Notion (SDD Central) Jira.

What success looks like first 6 months

• The Experience squad has a written technical approach that the rest of engineering uses as a reference point.
• API v3 surfaces owned by the squad are in production observable and within cost budget.
• SSO and cross-product permissions are shipped and self-serve.
• Code review on all merge requests and no direct-to-prod are real in your squad not aspirational.
• The engineers in the squad are visibly better than when they joined.

Why this role exists now

We are shifting from feature-driven engineering to agent-led product architecture. The Experience layer is where that shift is most visible and where it currently hurts most: navigation has crept data is hidden that should not be and agent-first thinking is not yet applied systematically. That gap is the job. We are honest about it and we need someone who will set the direction rather than wait for one.

Additional Information :

Youll need to be based in either the UK or the Netherlands - were a remote team with clusters of people in London and Amsterdam. 

We embrace flexibility and hybrid work opportunities to support diverse needs and lifestyles while also valuing inclusive workplace experiences. By fostering a sense of community we drive innovation strengthen connections and nurture belonging. Our commitment ensures you can work in a way that suits you best while also engaging with colleagues to share ideas and build meaningful relationships.

Remote Work :

Yes

Employment Type :

Full-time